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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

virtualmetric

VirtualMetric DataStream + Google SecOps Integration: Pre-Ingest UDM Normalization at Scale

Feb 6, 2026 By VirtualMetric In VirtualMetric
Google SecOps (formerly Chronicle) is widely used for large-scale security analytics, long-term telemetry retention, and detection across diverse environments. Its Unified Data Model (UDM) enables correlation across sources and supports analytics that operate over long time horizons. To take full advantage of these capabilities, security data must arrive in a consistent and well-structured UDM format. In practice, this is rarely the case.
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Densify

Kubex and Tangoe Partner to Deliver Unified Cloud, Kubernetes, and FinOps Optimization

Feb 6, 2026 By Kubex In Densify
Enterprises operating at cloud scale today face a growing reality: managing infrastructure performance and cost in silos no longer works. Kubernetes, multi cloud environments, and GPU accelerated workloads deliver immense agility and capability, but they also introduce complexity that outpaces traditional monitoring and cost governance approaches.
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spike

Weekly vs. split-week on-call rotations: A guide to finding the right rhythm

Feb 6, 2026 By Sreekar In Spike
When you move past daily rotations but find anything longer than a week feels too stretched out, you often end up choosing between weekly and split-week rotations. Weekly rotations give you a full seven days before handing off. Split-week rotations break that time into smaller chunks like 2-day, 3-day, or 4-day shifts. Each approach creates a different rhythm for your team. This guide compares both patterns across three key criteria.
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harness

Closing the Year Strong: Harness Q4 2025 Continuous Delivery & GitOps Update | Harness Blog

Feb 6, 2026 By Vishal Vishwaroop In Harness
Q4 2025 delivered major upgrades across Harness Continuous Delivery, GitOps, and Continuous Verification, focused on safer rollouts, stronger infrastructure integrations, and workflows that scale. Here’s a curated roundup of what shipped and where to learn more. Welcome back to the quarterly update series! Catch up on the latest Harness Continuous Delivery innovations and enhancements with this quarter's Q4 2025 release. For full context, check out our previous updates.
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cloudzero

From Chaos To Clarity: How Forcepoint Scaled FinOps Across The Organization

Feb 5, 2026 By Keith MacKenzie In CloudZero
When Anthony Leung talks about FinOps, he’s speaking from operating at real scale — not theory. As VP of Engineering Platforms and Security Research at Forcepoint, he led a transformation that cut cloud spend in half while improving availability, and built a culture where engineers own their economics.
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(Tech Talk) Shipping with Context Knowledge Graphs as the Backbone of AI-First Software Delivery

Feb 5, 2026 By Harness In Harness
Knowledge graphs are essential to solving the context bottleneck in AI-First software delivery, which occurs because workflows, policies, and dependencies are siloed and invisible to AI agents. In this Tech Talk, Prateek Mittal ((Product Director of AI Core and Data Platform at Harness)) discusses the key concepts: Knowledge Graphs vs. Observability: Observability tells you "what is happening," while knowledge graphs tell you "what does that mean" by modeling structured relationships. They work together to link live signals to affected services or SLAs.
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Introducing Harness Artifact Registry | Unified. Secure. Built for the Future Artifact Management

Feb 5, 2026 By Harness In Harness
Managing build artifacts today is harder than it should be. Fragmented tools, security blind spots, and disconnected developer workflows make it difficult to keep builds safe, consistent, and production-ready. In this walkthrough, Shibam Dhar, DevRel Engineer at Harness, shows how Harness Artifact Registry unifies artifact management across the entire software delivery lifecycle — from creation to deployment — while improving security and developer experience.
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Densify

We Built an MCP Server

Feb 5, 2026 By Kubex In Densify
When I joined Kubex last year, the company was already well aware of the growing power of Large Language Models. As a company focused on intelligent resource optimization for Kubernetes, GPUs, and cloud infrastructure, generative AI didn’t feel like a threat so much as a natural extension of where the industry was heading. Kubex had already invested heavily in machine learning, but it was becoming clear that foundation models could unlock an entirely new class of capabilities for our customers.
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